Spatial Expression-Aligned Learning to improve pathology foundation models

NOVA: An agentic framework for automated histopathology analysis and discovery

Clinical Trial Inspector is an advanced AI agent designed to revolutionize how researchers, clinicians, and analysts explore clinical trial data. By combining Semantic Search, Retrieval-Augmented G…

🤖 Just a command runner

All Algorithms implemented in Python

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Feather - Lightweight supervised slide foundation models (ICML 2025)

Ressources of histopathology datasets

The 500 AI Agents Projects is a curated collection of AI agent use cases across various industries. It showcases practical applications and provides links to open-source projects for implementation…

FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI…

Biomni: a general-purpose biomedical AI agent

Foundation Model for Multiplex Spatial Proteomic Images

The agent engineering platform.

🤗 smolagents: a barebones library for agents that think in code.

Specify a github or local repo, github pull request, arXiv or Sci-Hub paper, Youtube transcript or documentation URL on the web and scrape into a text file and clipboard for easier LLM ingestion

CellViT: Vision Transformers for Precise Cell Segmentation and Classification

Accessible and interoperable whole slide image analysis

Standardized benchmark for computational pathology foundation models.

Toolkit for large-scale whole-slide image processing.

Pathology Foundation Model - Nature Medicine

MADELEINE: multi-stain slide representation learning (ECCV'24)

Open source tools for computational pathology - Nature BME

Vision-Language Pathology Foundation Model - Nature Medicine

Multimodal prototyping for cancer survival prediction - ICML 2024

Integrating histology and spatial transcriptomics - NeurIPS 2024

Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology - CVPR 2024

Transcriptomics-guided Slide Representation Learning in Computational Pathology - CVPR 2024

Analysis of 3D pathology samples using weakly supervised AI - Cell